As AI companies begin discussing slower development and stronger codes of conduct, a deeper question remains: Who gets to decide? This article examines how power, responsibility, and public participation should shape the rules governing A—and why these questions belong in the technology ethics classroom.
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We must remember that those who profit the most from our growing reliance of GenAI are the tech companies themselves. Meanwhile, the people who are the most excited about AI are the ones who understand it the least. While machine learning can be useful, I argue that GenAI comes at an unacceptable cost. Taking in to consideration GenAI’s role in the spread of disinformation, the complex damages caused to people and the planet along with the proven negative effect to cognitive skills among users, this text advocates for critical perspectives, and ideally, critical refusal of GenAI.
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Designers shape far more than products or interfaces. They shape how people act, decide, and relate to the world around them. From recommendation systems to account settings, design quietly guides everyday behavior. Because of this, design is never neutral. It always carries ethical consequences, whether designers intend them or not. This article reworks selected ideas from the author’s research, Rethinking Design Ethics from the Perspective of Spinoza, for a general audience.
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When a harsh peer review exposed systemic bias, the author drew on established and emerging research to envision AI‑powered Review Reveal: a tool that flags exclusionary reviewer language, maps critiques to manuscript sections, audits equity‑related phrasing, and suggests inclusive rewrites — protecting intellectual freedom and making global digital knowledge culture more accessible to under‑represented and all participating scholars.
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Many educational institutions use learning management systems (LMSs), which may track and analyze a student’s every click, assignment submission, and even location; this also makes them useful for learning analytics, the collection and analysis of student data in the name of supporting learning and teaching. While students may know that LMSs collect their data, they often don’t understand the extent of just how much data these systems collect! Yet, it’s not hard to imagine what the scope of LMS data collection means for student privacy. This imbalance highlights the urgent need for greater transparency and critical data education in the use of educational technologies.
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As rapid technological advancements blur the boundaries between digital and physical worlds, balancing innovation with ethical standards becomes the greatest challenge. The new paradigm of “cybernetic governance” promises innovative regulatory strategies but also raises questions about control and individual freedoms. The article “Cybernetic Governance: Implications of Technology Convergence on Governance Convergence,” explores the pressing need for governance frameworks to adapt in the face of rapid technological advancements.
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Clear, complete, and reliable provenance information is crucial for validating an object’s ownership, authenticity, transparency objectives, and value determinations.
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Ethical dilemma is a common problem for humans, but this is as true for humans as it is for machines. Hence, machines need to be enhanced to make the optimal decision in the face of ethical dilemma.
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The growth and the impact of AI on the world are extensive. However, when AI algorithms introduce bias, preventable errors, and poor decision-making, it causes mistrust among the very people it is supposed to be helping.
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According to privacy researcher Daphne Muller, the era of big data will soon come to an end.
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